Profiling Report

Dataset statistics

Number of variables	12
Number of observations	576
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	187.3 KiB
Average record size in memory	333.0 B

Variable types

Numeric	8
Categorical	4

Alerts

`Visits Jul 21` is highly overall correlated with `Total Visits`	High correlation
`Amount Paid Jul 21` is highly overall correlated with `Amount Paid Jul 22` and 1 other fields	High correlation
`Visits Jul 22` is highly overall correlated with `Amount Paid Jul 22` and 1 other fields	High correlation
`Amount Paid Jul 22` is highly overall correlated with `Amount Paid Jul 21` and 2 other fields	High correlation
`MedicalExpense` is highly overall correlated with `Amount Paid Jul 21` and 2 other fields	High correlation
`Total Visits` is highly overall correlated with `Visits Jul 21` and 2 other fields	High correlation
`S/n` is uniformly distributed	Uniform
`S/n` has unique values	Unique

Reproduction

Analysis started	2023-04-22 20:14:00.237759
Analysis finished	2023-04-22 20:14:26.764213
Duration	26.53 seconds
Software version	version 1.0.0
Download configuration	config.json

S/n
Real number (ℝ)

UNIFORM UNIQUE

Distinct	576
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	302.52778

Minimum	1
Maximum	606
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.6 KiB

Quantile statistics

Minimum	1
5-th percentile	29.75
Q1	152.75
median	303.5
Q3	453.25
95-th percentile	574.25
Maximum	606
Range	605
Interquartile range (IQR)	300.5

Descriptive statistics

Standard deviation	174.64075
Coefficient of variation (CV)	0.57727177
Kurtosis	-1.1991006
Mean	302.52778
Median Absolute Deviation (MAD)	150.5
Skewness	-0.012700739
Sum	174256
Variance	30499.391
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.2%
2	1	0.2%
402	1	0.2%
403	1	0.2%
404	1	0.2%
405	1	0.2%
406	1	0.2%
407	1	0.2%
408	1	0.2%
409	1	0.2%
Other values (566)	566	98.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.2%
2	1	0.2%
3	1	0.2%
4	1	0.2%
5	1	0.2%
6	1	0.2%
7	1	0.2%
8	1	0.2%
9	1	0.2%
10	1	0.2%

Value	Count	Frequency (%)
606	1	0.2%
604	1	0.2%
603	1	0.2%
601	1	0.2%
600	1	0.2%
599	1	0.2%
598	1	0.2%
597	1	0.2%
596	1	0.2%
594	1	0.2%

Gender
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	35.0 KiB

Male	312
Female	264

Length

Max length	6
Median length	4
Mean length	4.9166667
Min length	4

Characters and Unicode

Total characters	2832
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Male
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	312	54.2%
Female	264	45.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	312	54.2%
female	264	45.8%

Most occurring characters

Value	Count	Frequency (%)
e	840	29.7%
a	576	20.3%
l	576	20.3%
M	312	11.0%
F	264	9.3%
m	264	9.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2256	79.7%
Uppercase Letter	576	20.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	840	37.2%
a	576	25.5%
l	576	25.5%
m	264	11.7%

Uppercase Letter

Value	Count	Frequency (%)
M	312	54.2%
F	264	45.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2832	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	840	29.7%
a	576	20.3%
l	576	20.3%
M	312	11.0%
F	264	9.3%
m	264	9.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2832	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	840	29.7%
a	576	20.3%
l	576	20.3%
M	312	11.0%
F	264	9.3%
m	264	9.3%

Age
Real number (ℝ)

Distinct	15
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.9166667

Minimum	3
Maximum	17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.6 KiB

Quantile statistics

Minimum	3
5-th percentile	4
Q1	5
median	7
Q3	10
95-th percentile	16
Maximum	17
Range	14
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.544009
Coefficient of variation (CV)	0.4476643
Kurtosis	-0.044024309
Mean	7.9166667
Median Absolute Deviation (MAD)	2
Skewness	0.91577934
Sum	4560
Variance	12.56
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
5	103	17.9%
4	82	14.2%
6	78	13.5%
9	52	9.0%
7	52	9.0%
8	48	8.3%
10	31	5.4%
11	28	4.9%
12	22	3.8%
13	21	3.6%
Other values (5)	59	10.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	3	0.5%
4	82	14.2%
5	103	17.9%
6	78	13.5%
7	52	9.0%
8	48	8.3%
9	52	9.0%
10	31	5.4%
11	28	4.9%
12	22	3.8%

Value	Count	Frequency (%)
17	15	2.6%
16	16	2.8%
15	8	1.4%
14	17	3.0%
13	21	3.6%
12	22	3.8%
11	28	4.9%
10	31	5.4%
9	52	9.0%
8	48	8.3%

Category
Categorical

Distinct	9
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	43.8 KiB

Dispensary	119
Specialized Clinic (Polyclinic)	118
District Hospital	109
Zonal Referral Hospital	86
Regional Referral Hospital	79
Other values (4)	65

Length

Max length	31
Median length	23
Mean length	20.638889
Min length	8

Characters and Unicode

Total characters	11888
Distinct characters	29
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Specialized Clinic (Polyclinic)
2nd row	Specialized Clinic (Polyclinic)
3rd row	Health Centre
4th row	Dispensary
5th row	Zonal Referral Hospital

Common Values

Value	Count	Frequency (%)
Dispensary	119	20.7%
Specialized Clinic (Polyclinic)	118	20.5%
District Hospital	109	18.9%
Zonal Referral Hospital	86	14.9%
Regional Referral Hospital	79	13.7%
National Referral Hospital	24	4.2%
Health Centre	23	4.0%
Pharmacy	10	1.7%
Specialized Clinics	8	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
hospital	298	22.4%
referral	189	14.2%
specialized	126	9.5%
dispensary	119	8.9%
clinic	118	8.9%
polyclinic	118	8.9%
district	109	8.2%
zonal	86	6.5%
regional	79	5.9%
national	24	1.8%
Other values (4)	64	4.8%

Most occurring characters

Value	Count	Frequency (%)
i	1478	12.4%
l	1187	10.0%
a	988	8.3%
e	897	7.5%
	754	6.3%
s	653	5.5%
r	639	5.4%
c	607	5.1%
o	605	5.1%
t	586	4.9%
Other values (19)	3494	29.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9568	80.5%
Uppercase Letter	1330	11.2%
Space Separator	754	6.3%
Open Punctuation	118	1.0%
Close Punctuation	118	1.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	1478	15.4%
l	1187	12.4%
a	988	10.3%
e	897	9.4%
s	653	6.8%
r	639	6.7%
c	607	6.3%
o	605	6.3%
t	586	6.1%
n	575	6.0%
Other values (8)	1353	14.1%

Uppercase Letter

Value	Count	Frequency (%)
H	321	24.1%
R	268	20.2%
D	228	17.1%
C	149	11.2%
P	128	9.6%
S	126	9.5%
Z	86	6.5%
N	24	1.8%

Space Separator

Value	Count	Frequency (%)
	754	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	118	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	118	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10898	91.7%
Common	990	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	1478	13.6%
l	1187	10.9%
a	988	9.1%
e	897	8.2%
s	653	6.0%
r	639	5.9%
c	607	5.6%
o	605	5.6%
t	586	5.4%
n	575	5.3%
Other values (16)	2683	24.6%

Common

Value	Count	Frequency (%)
	754	76.2%
(	118	11.9%
)	118	11.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11888	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	1478	12.4%
l	1187	10.0%
a	988	8.3%
e	897	7.5%
	754	6.3%
s	653	5.5%
r	639	5.4%
c	607	5.1%
o	605	5.1%
t	586	4.9%
Other values (19)	3494	29.4%

Ownership
Categorical

Distinct	3
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	36.6 KiB

Private	442
Faith Based	100
Government	34

Length

Max length	11
Median length	7
Mean length	7.8715278
Min length	7

Characters and Unicode

Total characters	4534
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Private
2nd row	Private
3rd row	Faith Based
4th row	Private
5th row	Faith Based

Common Values

Value	Count	Frequency (%)
Private	442	76.7%
Faith Based	100	17.4%
Government	34	5.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
private	442	65.4%
faith	100	14.8%
based	100	14.8%
government	34	5.0%

Most occurring characters

Value	Count	Frequency (%)
a	642	14.2%
e	610	13.5%
t	576	12.7%
i	542	12.0%
v	476	10.5%
r	476	10.5%
P	442	9.7%
B	100	2.2%
d	100	2.2%
s	100	2.2%
Other values (7)	470	10.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3758	82.9%
Uppercase Letter	676	14.9%
Space Separator	100	2.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	642	17.1%
e	610	16.2%
t	576	15.3%
i	542	14.4%
v	476	12.7%
r	476	12.7%
d	100	2.7%
s	100	2.7%
h	100	2.7%
n	68	1.8%
Other values (2)	68	1.8%

Uppercase Letter

Value	Count	Frequency (%)
P	442	65.4%
B	100	14.8%
F	100	14.8%
G	34	5.0%

Space Separator

Value	Count	Frequency (%)
	100	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4434	97.8%
Common	100	2.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	642	14.5%
e	610	13.8%
t	576	13.0%
i	542	12.2%
v	476	10.7%
r	476	10.7%
P	442	10.0%
B	100	2.3%
d	100	2.3%
s	100	2.3%
Other values (6)	370	8.3%

Common

Value	Count	Frequency (%)
	100	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4534	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	642	14.2%
e	610	13.5%
t	576	12.7%
i	542	12.0%
v	476	10.5%
r	476	10.5%
P	442	9.7%
B	100	2.2%
d	100	2.2%
s	100	2.2%
Other values (7)	470	10.4%

Region
Categorical

Distinct	24
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	36.3 KiB

Kinondoni	233
Temeke	68
Ilala	57
Mwanza	45
Kilimanjaro	31
Other values (19)	142

Length

Max length	11
Median length	9
Mean length	7.3263889
Min length	4

Characters and Unicode

Total characters	4220
Distinct characters	33
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.5%

Sample

1st row	Temeke
2nd row	Ilala
3rd row	Morogoro
4th row	Unguja
5th row	Kilimanjaro

Common Values

Value	Count	Frequency (%)
Kinondoni	233	40.5%
Temeke	68	11.8%
Ilala	57	9.9%
Mwanza	45	7.8%
Kilimanjaro	31	5.4%
Unguja	26	4.5%
Geita	22	3.8%
Mbeya	19	3.3%
Arusha	11	1.9%
Pwani	10	1.7%
Other values (14)	54	9.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kinondoni	233	40.5%
temeke	68	11.8%
ilala	57	9.9%
mwanza	45	7.8%
kilimanjaro	31	5.4%
unguja	26	4.5%
geita	22	3.8%
mbeya	19	3.3%
arusha	11	1.9%
pwani	10	1.7%
Other values (14)	54	9.4%

Most occurring characters

Value	Count	Frequency (%)
n	837	19.8%
i	577	13.7%
o	557	13.2%
a	415	9.8%
K	269	6.4%
e	254	6.0%
d	241	5.7%
l	145	3.4%
m	109	2.6%
T	83	2.0%
Other values (23)	733	17.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3644	86.4%
Uppercase Letter	576	13.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	837	23.0%
i	577	15.8%
o	557	15.3%
a	415	11.4%
e	254	7.0%
d	241	6.6%
l	145	4.0%
m	109	3.0%
r	74	2.0%
k	69	1.9%
Other values (11)	366	10.0%

Uppercase Letter

Value	Count	Frequency (%)
K	269	46.7%
T	83	14.4%
M	74	12.8%
I	62	10.8%
U	26	4.5%
G	22	3.8%
A	11	1.9%
P	10	1.7%
S	9	1.6%
D	5	0.9%
Other values (2)	5	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4220	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	837	19.8%
i	577	13.7%
o	557	13.2%
a	415	9.8%
K	269	6.4%
e	254	6.0%
d	241	5.7%
l	145	3.4%
m	109	2.6%
T	83	2.0%
Other values (23)	733	17.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4220	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	837	19.8%
i	577	13.7%
o	557	13.2%
a	415	9.8%
K	269	6.4%
e	254	6.0%
d	241	5.7%
l	145	3.4%
m	109	2.6%
T	83	2.0%
Other values (23)	733	17.4%

Visits Jul 21
Real number (ℝ)

Distinct	7
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.328125

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	8
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.78350869
Coefficient of variation (CV)	0.58993596
Kurtosis	25.237724
Mean	1.328125
Median Absolute Deviation (MAD)	0
Skewness	4.1841688
Sum	765
Variance	0.61388587
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	444	77.1%
2	102	17.7%
3	17	3.0%
4	7	1.2%
5	3	0.5%
8	2	0.3%
7	1	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	444	77.1%
2	102	17.7%
3	17	3.0%
4	7	1.2%
5	3	0.5%
7	1	0.2%
8	2	0.3%

Value	Count	Frequency (%)
8	2	0.3%
7	1	0.2%
5	3	0.5%
4	7	1.2%
3	17	3.0%
2	102	17.7%
1	444	77.1%

Amount Paid Jul 21
Real number (ℝ)

Distinct	428
Distinct (%)	74.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36415.174

Minimum	1000
Maximum	775000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.6 KiB

Quantile statistics

Minimum	1000
5-th percentile	5075
Q1	10937.5
median	20130
Q3	35000
95-th percentile	96662.5
Maximum	775000
Range	774000
Interquartile range (IQR)	24062.5

Descriptive statistics

Standard deviation	70229.907
Coefficient of variation (CV)	1.9285891
Kurtosis	49.510713
Mean	36415.174
Median Absolute Deviation (MAD)	10750
Skewness	6.3791121
Sum	20975140
Variance	4.9322399 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17000	8	1.4%
7000	6	1.0%
29000	5	0.9%
8950	5	0.9%
8000	5	0.9%
21000	5	0.9%
35000	4	0.7%
10000	4	0.7%
22000	4	0.7%
19500	4	0.7%
Other values (418)	526	91.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1000	1	0.2%
1400	1	0.2%
1500	1	0.2%
2000	1	0.2%
2250	1	0.2%
2500	1	0.2%
2600	1	0.2%
2900	1	0.2%
3000	1	0.2%
3120	1	0.2%

Value	Count	Frequency (%)
775000	1	0.2%
653250	1	0.2%
649600	1	0.2%
522240	1	0.2%
435160	1	0.2%
374720	1	0.2%
374300	1	0.2%
357200	1	0.2%
325570	1	0.2%
315020	1	0.2%

Visits Jul 22
Real number (ℝ)

Distinct	8
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4947917

Minimum	1
Maximum	17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	17
Range	16
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1556924
Coefficient of variation (CV)	0.77314616
Kurtosis	66.551774
Mean	1.4947917
Median Absolute Deviation (MAD)	0
Skewness	6.375838
Sum	861
Variance	1.335625
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	405	70.3%
2	110	19.1%
3	40	6.9%
4	14	2.4%
5	3	0.5%
9	2	0.3%
10	1	0.2%
17	1	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	405	70.3%
2	110	19.1%
3	40	6.9%
4	14	2.4%
5	3	0.5%
9	2	0.3%
10	1	0.2%
17	1	0.2%

Value	Count	Frequency (%)
17	1	0.2%
10	1	0.2%
9	2	0.3%
5	3	0.5%
4	14	2.4%
3	40	6.9%
2	110	19.1%
1	405	70.3%

Amount Paid Jul 22
Real number (ℝ)

Distinct	456
Distinct (%)	79.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35672.422

Minimum	1000
Maximum	597220
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.6 KiB

Quantile statistics

Minimum	1000
5-th percentile	5671.25
Q1	10795
median	21475
Q3	41000
95-th percentile	108120
Maximum	597220
Range	596220
Interquartile range (IQR)	30205

Descriptive statistics

Standard deviation	51382.401
Coefficient of variation (CV)	1.4403957
Kurtosis	44.859557
Mean	35672.422
Median Absolute Deviation (MAD)	12045
Skewness	5.6590324
Sum	20547315
Variance	2.6401512 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25000	6	1.0%
9600	6	1.0%
11600	5	0.9%
10000	5	0.9%
33200	4	0.7%
39000	4	0.7%
7000	4	0.7%
24100	3	0.5%
32500	3	0.5%
16000	3	0.5%
Other values (446)	533	92.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1000	1	0.2%
2000	1	0.2%
3000	2	0.3%
3500	1	0.2%
3600	1	0.2%
3610	1	0.2%
3900	1	0.2%
3950	1	0.2%
4000	2	0.3%
4100	1	0.2%

Value	Count	Frequency (%)
597220	1	0.2%
489925	1	0.2%
416005	1	0.2%
338445	1	0.2%
331110	1	0.2%
251070	1	0.2%
248000	2	0.3%
221050	1	0.2%
217500	1	0.2%
193390	1	0.2%

MedicalExpense
Real number (ℝ)

Distinct	541
Distinct (%)	93.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	72087.595

Minimum	5000
Maximum	800000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.6 KiB

Quantile statistics

Minimum	5000
5-th percentile	13990
Q1	24370
median	46925
Q3	80210
95-th percentile	212762.5
Maximum	800000
Range	795000
Interquartile range (IQR)	55840

Descriptive statistics

Standard deviation	92399.047
Coefficient of variation (CV)	1.2817607
Kurtosis	21.50151
Mean	72087.595
Median Absolute Deviation (MAD)	24360
Skewness	4.1223596
Sum	41522455
Variance	8.5375838 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30200	3	0.5%
18450	3	0.5%
37600	3	0.5%
40550	2	0.3%
15900	2	0.3%
102200	2	0.3%
113050	2	0.3%
41700	2	0.3%
60000	2	0.3%
37700	2	0.3%
Other values (531)	553	96.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5000	1	0.2%
8650	1	0.2%
9180	1	0.2%
9250	1	0.2%
9450	1	0.2%
10000	1	0.2%
10100	1	0.2%
10200	1	0.2%
10390	1	0.2%
10430	1	0.2%

Value	Count	Frequency (%)
800000	1	0.2%
733400	1	0.2%
709550	1	0.2%
643620	1	0.2%
530040	1	0.2%
525925	1	0.2%
482200	1	0.2%
463110	1	0.2%
453525	1	0.2%
435000	1	0.2%

Total Visits
Real number (ℝ)

Distinct	13
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8229167

Minimum	2
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.6 KiB

Quantile statistics

Minimum	2
5-th percentile	2
Q1	2
median	2
Q3	3
95-th percentile	5
Maximum	19
Range	17
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.5162525
Coefficient of variation (CV)	0.53712267
Kurtosis	33.304484
Mean	2.8229167
Median Absolute Deviation (MAD)	0
Skewness	4.6156669
Sum	1626
Variance	2.2990217
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2	323	56.1%
3	148	25.7%
4	60	10.4%
5	26	4.5%
6	9	1.6%
11	2	0.3%
12	2	0.3%
13	1	0.2%
9	1	0.2%
8	1	0.2%
Other values (3)	3	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	323	56.1%
3	148	25.7%
4	60	10.4%
5	26	4.5%
6	9	1.6%
7	1	0.2%
8	1	0.2%
9	1	0.2%
10	1	0.2%
11	2	0.3%

Value	Count	Frequency (%)
19	1	0.2%
13	1	0.2%
12	2	0.3%
11	2	0.3%
10	1	0.2%
9	1	0.2%
8	1	0.2%
7	1	0.2%
6	9	1.6%
5	26	4.5%

Auto

Heatmap
Table

	S/n	Age	Visits Jul 21	Amount Paid Jul 21	Visits Jul 22	Amount Paid Jul 22	MedicalExpense	Total Visits	Gender	Category	Ownership	Region
S/n	1.000	0.254	-0.000	0.044	0.069	0.086	0.078	0.047	0.000	0.043	0.000	0.059
Age	0.254	1.000	0.022	-0.019	-0.056	-0.021	-0.015	-0.038	0.017	0.045	0.000	0.093
Visits Jul 21	-0.000	0.022	1.000	0.500	0.119	0.149	0.381	0.654	0.000	0.089	0.149	0.000
Amount Paid Jul 21	0.044	-0.019	0.500	1.000	0.067	0.505	0.825	0.336	0.000	0.115	0.219	0.000
Visits Jul 22	0.069	-0.056	0.119	0.067	1.000	0.528	0.376	0.781	0.000	0.000	0.053	0.000
Amount Paid Jul 22	0.086	-0.021	0.149	0.505	0.528	1.000	0.866	0.466	0.000	0.136	0.000	0.000
MedicalExpense	0.078	-0.015	0.381	0.825	0.376	0.866	1.000	0.512	0.000	0.178	0.168	0.000
Total Visits	0.047	-0.038	0.654	0.336	0.781	0.466	0.512	1.000	0.059	0.048	0.112	0.000
Gender	0.000	0.017	0.000	0.000	0.000	0.000	0.000	0.059	1.000	0.000	0.000	0.000
Category	0.043	0.045	0.089	0.115	0.000	0.136	0.178	0.048	0.000	1.000	0.412	0.374
Ownership	0.000	0.000	0.149	0.219	0.053	0.000	0.168	0.112	0.000	0.412	1.000	0.439
Region	0.059	0.093	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.374	0.439	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	S/n	Gender	Age	Category	Ownership	Region	Visits Jul 21	Amount Paid Jul 21	Visits Jul 22	Amount Paid Jul 22	MedicalExpense	Total Visits
0	1	Female	4	Specialized Clinic (Polyclinic)	Private	Temeke	1	28000	1	11600	39600	2
1	2	Male	4	Specialized Clinic (Polyclinic)	Private	Ilala	1	31950	2	46960	78910	3
2	3	Male	4	Health Centre	Faith Based	Morogoro	1	5350	1	3900	9250	2
3	4	Male	4	Dispensary	Private	Unguja	1	10100	3	18460	28560	4
4	5	Male	9	Zonal Referral Hospital	Faith Based	Kilimanjaro	2	61000	3	49700	110700	5
5	6	Male	4	Specialized Clinic (Polyclinic)	Private	Kinondoni	1	7000	1	12660	19660	2
6	7	Male	16	Regional Referral Hospital	Private	Geita	2	74380	1	14130	88510	3
7	8	Male	5	District Hospital	Faith Based	Tanga	2	28200	1	15000	43200	3
8	9	Male	16	Specialized Clinic (Polyclinic)	Private	Kinondoni	1	19500	1	27960	47460	2
9	10	Female	4	Regional Referral Hospital	Private	Kinondoni	3	104760	1	26000	130760	4

	S/n	Gender	Age	Category	Ownership	Region	Visits Jul 21	Amount Paid Jul 21	Visits Jul 22	Amount Paid Jul 22	MedicalExpense	Total Visits
566	594	Male	11	District Hospital	Private	Temeke	1	7380	2	34150	41530	3
567	596	Male	7	National Referral Hospital	Government	Kinondoni	1	27000	1	27500	54500	2
568	597	Female	5	District Hospital	Private	Temeke	1	21600	1	11500	33100	2
569	598	Male	7	District Hospital	Private	Temeke	2	12900	2	28800	41700	4
570	599	Male	4	Regional Referral Hospital	Private	Kinondoni	1	38450	1	15180	53630	2
571	600	Female	11	Dispensary	Private	Unguja	1	10030	1	6000	16030	2
572	601	Male	15	Specialized Clinic (Polyclinic)	Private	Arusha	2	30200	2	142000	172200	4
573	603	Female	8	Zonal Referral Hospital	Private	Kinondoni	1	20700	3	112950	133650	4
574	604	Male	10	Regional Referral Hospital	Private	Kinondoni	1	7000	3	136310	143310	4
575	606	Male	6	National Referral Hospital	Faith Based	Kinondoni	2	42950	2	80250	123200	4

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample